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Dr. Sameer Sayyad
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Data-driven remaining useful life estimation for milling process: sensors, algorithms, datasets, and future directions
S Sayyad, S Kumar, A Bongale, P Kamat, S Patil, K Kotecha
IEEE Access 9, 110255-110286, 2021
642021
Fault detection in induction motor using time domain and spectral imaging-based transfer learning approach on vibration data
S Misra, S Kumar, S Sayyad, A Bongale, P Jadhav, K Kotecha, ...
Sensors 22 (21), 8210, 2022
292022
Estimating remaining useful life in machines using artificial intelligence: A scoping review
S Sayyad, S Kumar, A Bongale, AM Bongale, S Patil
Libr. Philos. Pract 2021, 1-26, 2021
192021
Tool wear prediction using long short-term memory variants and hybrid feature selection techniques
S Sayyad, S Kumar, A Bongale, K Kotecha, G Selvachandran, ...
The International Journal of Advanced Manufacturing Technology 121 (9), 6611 …, 2022
172022
Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time–Frequency-Based Features and Deep Learning Models
S Sayyad, S Kumar, A Bongale, K Kotecha, A Abraham
Sensors 23 (12), 5659, 2023
52023
Systematic Study of Digital Twins for Welding Processes
V Warke, S Sayyad, S Kumar, A Bongale, R Suresh
Advanced Joining Technologies, 203-215, 0
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